2 months ago
Base Salary
$441k - $500k/yr
Responsibilities
- Set technical direction and personally design, build, and ship critical components across ChatGPT Work surfaces, services, plugins, and connectors.
- Translate ambiguous customer and design-partner needs into product and technical strategy with milestones, architecture decisions, and measurable quality and adoption goals.
- Lead initiatives across Design, Research, GTM, Security, and platform teams while aligning senior stakeholders and driving decisions through implementation.
- Architect production-grade systems and establish evaluation, instrumentation, security, reliability, staged-rollout, and rollback standards for probabilistic AI experiences.
- Own the full lifecycle from problem definition and prototyping through production implementation, launch, customer feedback, and sustained iteration.
- Define technical contracts and fallback strategies across connectors, identity, permissions, enterprise data, model routing, and shared platform dependencies.
- Raise engineering standards through architecture reviews, mentorship, and reusable patterns.
Requirements
- Typically 10+ years of experience building production software as a deeply experienced, hands-on product engineer.
- Ability to architect and implement sophisticated systems across frontend, backend, APIs, data, distributed services, and enterprise integrations.
- Experience personally building and operating full-stack production products using technologies such as React, TypeScript, Python, Go, or Node.js.
- Track record of setting technical direction for complex, integration-heavy or distributed systems involving APIs, data models, enterprise identity, authorization, secure data flows, and partial-failure behavior.
- Experience owning business-critical production systems at scale, including architecture, performance, observability, testing, incident response, migrations, staged delivery, and operational excellence.
- Experience shipping applied AI, agentic, or conversational products and understanding model behavior, tool use, grounding, evaluations, human feedback, and probabilistic-system reliability.
- Experience designing and building workflow, data, analytics, visualization, or insight products for enterprise users.
- Strong record of leading through technical judgment, mentoring experienced engineers, shaping cross-team architecture, and connecting engineering decisions to customer outcomes.
Tech Stack
Categories
About OpenAI
OpenAI builds and deploys large-scale AI models and tools—including ChatGPT, GPT-4–class models, DALL·E, and Whisper—sold via APIs and enterprise subscriptions to developers and businesses. It monetizes through usage-based API pricing and ChatGPT Plus/Team/Enterprise, and also reaches customers via Microsoft’s Azure OpenAI Service. Founded in 2015 and headquartered in San Francisco, it operates as a private partnership.